docstr: get output probability of ML model
docstr_tok: ["get","output","probability","of","ML","model"]
code: def get_model_output(
      self, input_instance, transform_data=False, out_tensor=True
  ):
      """get output probability of ML model"""
      return self.model.get_output(
          input_instance,
          transform_data=transform_data,
          out_tensor=out_tensor,
      )[(self.num_output_nodes - 1) :]
  
imports: import copy
  import random
  import timeit
  import numpy
  import torch
  from dice_ml import diverse_counterfactuals
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 3 for calling the DicePyTorch obj's underlying member method code with example usage: obj.get_model_output(input_instance, transform_data, out_tensor) and returns: self